Detecting Rogue AP using k-SVM method
نویسندگان
چکیده
منابع مشابه
Defending Against Vehicular Rogue AP
This paper considers vehicular rogue access points (APs) that rogue APs are set up in moving vehicles to mimic legitimate roadside APs to lure users to associate to them. Due to its mobility, a vehicular rogue AP is able to maintain a long connection with users. Thus, the adversary has more time to launch various attacks to steal users’ private information. We propose a practical detection sche...
متن کاملDetecting rogue devices in bluetooth networks using radio frequency fingerprinting
Unauthorized Bluetooth devices or rogue devices can impersonate legitimate devices through address and link key spoofing. Moreover, they can infiltrate a Bluetooth network and initiate other forms of attacks. This paper investigates a novel intrusion detection approach, which makes use of radio frequency fingerprinting (RFF) for profiling, Hotelling’s T 2 statistics for classification and a dec...
متن کاملDetecting Brain Mri Anomalies By Using Svm Classification
This research paper proposes an intelligent classification technique to identify anomalies present in brain MRI. The manual interpretation of anomalies based on visual examination by radiologist/physician may lead to missing diagnosis when a large number of MRIs are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classific...
متن کاملA Peer to Peer Traffic Identification Method Using K-means Clustering, Svm & Genetic Algorithm
The utilization of shared (P2P) applications is developing significantly, which brings about a few major issues, for example, the system clog and traffic obstruction. Consequently P2P traffic identification is the most blazing theme of P2P traffic administration. Support vector machine (SVM) has points of interest with settling little examples for P2P characterization issues. However, the execu...
متن کاملDiabetes Disease Diagnosis Method based on Feature Extraction using K-SVM
Now-a-days, diabetes disease is considered one of the key reasons of death among the people in the world. The availability of extensive medical information leads to the search for proper tools to support physicians to diagnose diabetes disease accurately. This research aimed at improving the diagnostic accuracy and reducing diagnostic missclassification based on the extracted significant diabet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korea Institute of Information Security and Cryptology
سال: 2014
ISSN: 1598-3986
DOI: 10.13089/jkiisc.2014.24.1.87